Graniteshares Bloomberg Commodity Etf Market Value
| COMB Etf | USD 20.40 0.10 0.49% |
| Symbol | GraniteShares |
The market value of GraniteShares Bloomberg is measured differently than its book value, which is the value of GraniteShares that is recorded on the company's balance sheet. Investors also form their own opinion of GraniteShares Bloomberg's value that differs from its market value or its book value, called intrinsic value, which is GraniteShares Bloomberg's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because GraniteShares Bloomberg's market value can be influenced by many factors that don't directly affect GraniteShares Bloomberg's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between GraniteShares Bloomberg's value and its price as these two are different measures arrived at by different means. Investors typically determine if GraniteShares Bloomberg is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GraniteShares Bloomberg's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
GraniteShares Bloomberg 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to GraniteShares Bloomberg's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of GraniteShares Bloomberg.
| 11/28/2023 |
| 11/22/2024 |
If you would invest 0.00 in GraniteShares Bloomberg on November 28, 2023 and sell it all today you would earn a total of 0.00 from holding GraniteShares Bloomberg Commodity or generate 0.0% return on investment in GraniteShares Bloomberg over 360 days. GraniteShares Bloomberg is related to or competes with Abrdn Bloomberg, IShares Bloomberg, Abrdn Bloomberg, Direxion Auspice, and IShares GSCI. The fund is an actively managed ETF that seeks to provide long-term capital appreciation, primarily through exposure to ... More
GraniteShares Bloomberg Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure GraniteShares Bloomberg's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess GraniteShares Bloomberg Commodity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8746 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.58 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.39 |
GraniteShares Bloomberg Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GraniteShares Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GraniteShares Bloomberg's standard deviation. In reality, there are many statistical measures that can use GraniteShares Bloomberg historical prices to predict the future GraniteShares Bloomberg's volatility.| Risk Adjusted Performance | 0.0639 | |||
| Jensen Alpha | 0.053 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 1.03 |
GraniteShares Bloomberg Backtested Returns
At this point, GraniteShares Bloomberg is very steady. GraniteShares Bloomberg holds Efficiency (Sharpe) Ratio of 0.0642, which attests that the entity had a 0.0642% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for GraniteShares Bloomberg, which you can use to evaluate the volatility of the entity. Please check out GraniteShares Bloomberg's market risk adjusted performance of 1.04, and Risk Adjusted Performance of 0.0639 to validate if the risk estimate we provide is consistent with the expected return of 0.0523%. The etf retains a Market Volatility (i.e., Beta) of 0.0571, which attests to not very significant fluctuations relative to the market. As returns on the market increase, GraniteShares Bloomberg's returns are expected to increase less than the market. However, during the bear market, the loss of holding GraniteShares Bloomberg is expected to be smaller as well.
Auto-correlation | 0.29 |
Poor predictability
GraniteShares Bloomberg Commodity has poor predictability. Overlapping area represents the amount of predictability between GraniteShares Bloomberg time series from 28th of November 2023 to 26th of May 2024 and 26th of May 2024 to 22nd of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of GraniteShares Bloomberg price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current GraniteShares Bloomberg price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
GraniteShares Bloomberg lagged returns against current returns
Autocorrelation, which is GraniteShares Bloomberg etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting GraniteShares Bloomberg's etf expected returns. We can calculate the autocorrelation of GraniteShares Bloomberg returns to help us make a trade decision. For example, suppose you find that GraniteShares Bloomberg has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
GraniteShares Bloomberg regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If GraniteShares Bloomberg etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GraniteShares Bloomberg etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GraniteShares Bloomberg etf over time.
Current vs Lagged Prices |
| Timeline |
GraniteShares Bloomberg Lagged Returns
When evaluating GraniteShares Bloomberg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GraniteShares Bloomberg etf have on its future price. GraniteShares Bloomberg autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, GraniteShares Bloomberg autocorrelation shows the relationship between GraniteShares Bloomberg etf current value and its past values and can show if there is a momentum factor associated with investing in GraniteShares Bloomberg Commodity.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether GraniteShares Bloomberg offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of GraniteShares Bloomberg's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Graniteshares Bloomberg Commodity Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Graniteshares Bloomberg Commodity Etf:Check out GraniteShares Bloomberg Correlation, GraniteShares Bloomberg Volatility and GraniteShares Bloomberg Alpha and Beta module to complement your research on GraniteShares Bloomberg. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
GraniteShares Bloomberg technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.